Gaurav Parmar

I am a PhD student at Carnegie Mellon University. I got my undergraduate degree in Computer Science (with highest honors) from University of California, San Diego in 2020.

My research interests include Computer Vision, Machine Learning and Robotics. I am co-advised by Jun-Yan Zhu and Srinivasa Narasimhan . Prior to this, I have worked with Zhuowen Tu and Jack Silberman at UCSD.

I spent two wonderful summers (2021 and 2022) interning at Adobe Research with Krishna Kumar Singh, Yijun Li, Cynthia Lu, and Richard Zhang.

Email / Google Scholar / LinkedIn / Twitter

Publications

	Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing Gaurav Parmar, Yijun Li , Jingwan (Cynthia) Lu , Richard Zhang , Jun-Yan Zhu , Krishna Kumar Singh To appear in CVPR, 2022 [Webpage] \| [Paper] \| [GitHub]
	On Aliased Resizing and Surprising Subtleties in GAN Evaluation Gaurav Parmar, Richard Zhang , Jun-Yan Zhu To appear in CVPR, 2022 [Webpage] \| [Paper] \| [GitHub]
	Dual Contradistinctive Generative Autoencoder Gaurav Parmar, Dacheng Li , Kwonjoon Lee, Zhuowen Tu CVPR, 2021 [Webpage] \| [Paper] \| [GitHub]
	Guided Variational Autoencoder for Disentanglement Learning Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu CVPR, 2020
	Geometry-Aware End-to-End Skeleton Detection Weijian Xu, Gaurav Parmar, Zhuowen Tu British Machine Vision Conference, 2019
	Autonomous Smart Wheelchair: A Social Solution for Individual Need Isabella Gomez, Gaurav Parmar, Samarth Aggarwal, Nathaniel Mansur, Alexander Guthrie CHI Conference on Human Factors in Computing Systems EA, 2019